{
  "aboutHtml": "<h3>程式碼與複雜工作</h3><p>GPT-6.1 Sol Ultrafast 這張模型卡用於分析程式碼、技術需求與專業資料。OpenAI 將基礎 GPT-6.1 Sol 歸為推理模型，主要方向為複雜程式設計與專業工作。這類模型準備答案時會使用內部推理 token；可見結果可指定為解釋、程式碼或完整文件。</p><h3>從原始任務到解決方案</h3><p>程式設計的實用情境包括分析函式行為、依需求準備修改，以及制定重構計畫。請提供原始碼、介面限制與輸入範例，再要求具體結果。尋找錯誤時，加入預期與實際行為。模型輸出文字；建議的程式碼、命令及驗證可在自己的工作環境使用。</p><p>專業工作中，可將 Sol 納入大型規格分析與多來源資料準備流程。例如，將需求整理成統一描述、比較實作方案、為不同讀者解釋技術方案，或準備文件草稿。比較標準與原始資訊構成答案基礎；指定所需格式，有助於取得方便核對及後續使用的結果。</p><h3>大型文字上下文</h3><p>OpenAI 為基礎 GPT-6.1 Sol 標示 1,050,000 個 token 的視窗。Ailoot API 模型卡設定的輸入上限為 922,000 個 token，輸出上限為 128,000 個 token。這些數值可讓您分別規劃原始資料及結果的容量。推理 token 也會計入生成預算，因此輸出上限不等於保證可見答案具有相同長度。</p><p>大型專案請將檔名與章節名稱連同內容一起提供。若問題針對特定元件或文件，請標明範圍。這樣可讓任務聚焦相關資料，並更容易將建議修改與原始資料比對。</p><h3>Ailoot API 的輸入與結果</h3><p>本模型卡接受文字並傳回文字，提供 Chat Completions、Responses 及 Gemini 相容的 generateContent。此情境中的文件與影像需使用預先擷取的文字或文字描述。請選擇客戶端使用的介面，指定最終結果、必要限制與答案結構。</p>",
  "aboutText": "### 程式碼與複雜工作\nGPT-6.1 Sol Ultrafast 這張模型卡用於分析程式碼、技術需求與專業資料。OpenAI 將基礎 GPT-6.1 Sol 歸為推理模型，主要方向為複雜程式設計與專業工作。這類模型準備答案時會使用內部推理 token；可見結果可指定為解釋、程式碼或完整文件。\n\n### 從原始任務到解決方案\n程式設計的實用情境包括分析函式行為、依需求準備修改，以及制定重構計畫。請提供原始碼、介面限制與輸入範例，再要求具體結果。尋找錯誤時，加入預期與實際行為。模型輸出文字；建議的程式碼、命令及驗證可在自己的工作環境使用。\n\n專業工作中，可將 Sol 納入大型規格分析與多來源資料準備流程。例如，將需求整理成統一描述、比較實作方案、為不同讀者解釋技術方案，或準備文件草稿。比較標準與原始資訊構成答案基礎；指定所需格式，有助於取得方便核對及後續使用的結果。\n\n### 大型文字上下文\nOpenAI 為基礎 GPT-6.1 Sol 標示 1,050,000 個 token 的視窗。Ailoot API 模型卡設定的輸入上限為 922,000 個 token，輸出上限為 128,000 個 token。這些數值可讓您分別規劃原始資料及結果的容量。推理 token 也會計入生成預算，因此輸出上限不等於保證可見答案具有相同長度。\n\n大型專案請將檔名與章節名稱連同內容一起提供。若問題針對特定元件或文件，請標明範圍。這樣可讓任務聚焦相關資料，並更容易將建議修改與原始資料比對。\n\n### Ailoot API 的輸入與結果\n本模型卡接受文字並傳回文字，提供 Chat Completions、Responses 及 Gemini 相容的 generateContent。此情境中的文件與影像需使用預先擷取的文字或文字描述。請選擇客戶端使用的介面，指定最終結果、必要限制與答案結構。",
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